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Llama 3 8B Merged Linear by vhab10

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  Merged Model   4-bit   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Bitsandbytes   Conversational   En   Endpoints compatible   Llama   Model-merging   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vhab10/llama-3-8b-merged-linear 

Llama 3 8B Merged Linear Benchmarks

MMLU Pro: 30.05
GPQA: 6.6
MUSR: 11.68
BBH: 27.82
IFEval: 59.17 vs 88 (so35)-32.8%
MATH Lvl 5: 8.16
LLME Score: 0.29984
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Merged Linear (vhab10/llama-3-8b-merged-linear)

Llama 3 8B Merged Linear Parameters and Internals

Model Type 
text generation, model merging
Additional Notes 
This model is a linear merge of three Llama 3-8b models using Mergekit tool.
Supported Languages 
English (multilingual, including English, Italian, and potentially others)
LLM NameLlama 3 8B Merged Linear
Repository 🤗https://huggingface.co/vhab10/llama-3-8b-merged-linear 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Merged ModelYes
Model Size8b
Required VRAM5.8 GB
Updated2024-12-22
Maintainervhab10
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vhab10/llama-3-8b-merged-linear.

Rank the Llama 3 8B Merged Linear Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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